ai scientist

JPMorganChase

<div>JOB DESCRIPTION 
 
 
JPMorgan Chase's Asset &amp; Wealth Management Finance organization is advancing the frontier of agentic AI, deploying digital workers that transform forecasting, analytics, and decision support. As Vice President, you will lead the design, deployment, and scaling of large language model (LLM) agents and AI-driven solutions, driving innovation and business impact across finance workflows. You will shape strategy, architect robust systems, and mentor teams to deliver trusted, actionable insights for complex financial questions.
Job responsibilities
<ul><li>Define and execute the roadmap for agentic AI and digital worker solutions in Finance, aligning with business priorities and emerging technologies.</li>
<li>Identify and prioritize high-value use cases, translating ambiguous business challenges into measurable outcomes</li>
<li>Lead cross-functional teams, collaborating with Finance, Product, Engineering, and Operations to deliver scalable, production-grade AI solutions.</li>
<li>Architect, build, and scale LLM agents for finance workflows using advanced techniques such as LangGraph, retrieval augmented generation (RAG), multi-agent orchestration, tool use, and multi-step reasoning</li>
<li>Oversee the development of robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, BI/reporting tools, and cloud platforms (AWS, Azure, GCP)</li>
<li>Leverage vector databases, embeddings, and distributed compute frameworks (e.g., Databricks, Snowflake, PySpark) for efficient retrieval and performance optimization.</li>
<li>Drive research and development initiatives, exploring Gen AI, Agentic AI, and autonomous workflow patterns.</li>
<li>Mentor and upskill teams; deliver enablement materials, documentation, and best practices for AI adoption.</li>
<li>Foster a culture of innovation, experimentation, and continuous improvement.</li>
<li>Translate model outputs into user-friendly insights and analytics for end users, enabling data-driven decision making.</li>
<li>Communicate complex technical concepts to senior stakeholders; deliver compelling data visualizations and narratives.</li>
</ul>Required qualifications, capabilities and skills
<ul><li>8+ years in data/ML roles, including 4+ years building and operating production ML applications; hands‑on experience with LLMs.</li>
<li>Strong Python and SQL;
</li><li>Practical knowledge of RAG, prompt engineering, fine‑tuning, function/tool calling, and vector stores.</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake).</li>
<li>Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.</li>
<li>Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.</li>
<li>Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.</li>
</ul>Preferred qualifications, capabilities and skills
<ul><li>Experience building multi‑agent systems, autonomous workflows, or task planners.</li>
<li>Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.</li>
<li>Exposure to observability tools (logging, tracing, telemetry) and A/B testing.</li>
<li>Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.</li>
<li>Experience with GPUs/accelerators, containerization, and infrastructure‑as‑code.</li>
<li>Experience with PySpark or distributed compute.</li>
</ul>What success looks like
<ul><li>90 days: deliver a pilot finance agent with RAG and evaluation metrics, integrated with key data sources and APIs.</li>
<li>6 months: scale agents across multiple workflows, establish guardrails and monitoring, and demonstrate clear improvements in cycle time, accuracy, or user satisfaction.</li>
</ul>ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Vice President — Principal Applied AI Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 
 
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. 
 
As a Prime Video team member, you&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers.
 
 
We are looking for an Applied Scientist to push the envelope of AI content generation. As a scientist at Prime Video, you will contribute directly to productions using innovative tools in computer vision, deep learning, and generative AI to transform entertainment experiences. The ideal candidate has deep knowledge in one of: graphics, deep learning, generative AI and/or reinforcement learning and experience applying them real-world problems. You understand tradeoffs between business needs and model complexity, and you take calculated risks in developing rapid prototypes and iterative model improvements. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into production systems and business action (and customer delight). 
 
Key job responsibilities 
<ul><li>Build generative AI models that create production-ready content, including movie content, localized assets, and visual marketing materials used across Prime Video's global platform.</li><li>Drive end-to-end machine learning projects that have a high degree of ambiguity, scale, complexity.</li><li>Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models.</li><li>Run experiments, gather data, and perform statistical analysis.</li><li>Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.</li><li>Research new and innovative machine learning approaches.</li><li>Share knowledge and research outcomes via internal and external conferences and journal publications</li></ul> 
A day in the life 
In this role, you will invent science and systems for content localization, generation, including graphics and machine learning-based modeling systems. You will work with a team of scientists and product managers to design customer-facing products, and you will work with technology teams to productize and maintain the associated solutions.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually</div>

Applied Scientist, Prime Video - Generative AI (Video)

Survice Engineering Company

<div>Join Us in Making a Difference in the Lives of Those Defending Our Nation!
Why SURVICE?
Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!
Position
Computational Data Scientist<ul><li>
Location: Aberdeen Proving Ground, Maryland</li><li>
Security Clearance: Active Clearance or Eligible to Obtain - U.S. citizenship required</li><li>
Salary: $115,000 - $130,000 Depending on Experience and Education</li><li>
Travel: 5%</li><li>
Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.</li></ul>
Position Summary
SURVICE Engineering is currently seeking a Computational Data Scientist to support our Aberdeen Research Operation. You will accelerate your career and become an integral team member within the defense community.
Primary Duties and Responsibilities<ul><li>
Carry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or other emergent techniques.</li><li>
Work with a multidisciplinary team of ARL experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency and impact.</li><li>
Apply learning algorithms on high-dimensional, complex and/or streaming data sets with limited labels and of diverse quality for smart decision making.</li><li>
Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured from data capture, data integration, data cleaning to data management.</li><li>
Interface with data scientists in academic, industrial and government labs to identify and transition cutting edge tools for use at ARL, and work with outside partners to fill critical gaps in skills and capabilities.</li><li>
Prepare presentations and written documents summarizing efforts in Government format</li></ul>
Minimum Qualifications of Computational Data Scientist 
Masters of Science or PhD in Computer Science or Math related discipline and 3+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.<ul><li>
MS or PhD concentration in machine learning with at least three (3) independent projects including internships and thesis work OR minimum of five (5) years of dedicated experience with machine learning.</li><li>
Practical experience in applying data science to model complex real-world problems.</li><li>
Proficient in using Python and AI/ML models.</li><li>
Experience in communicating results through reports and presentations.</li></ul>
About Us
SURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&amp;S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering. 
SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor.</div>

Computational Data Scientist

<div>JOB DESCRIPTION 
 
 
As part of the Commercial &amp; Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.
As a Vice President Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment's ecosystem will also be a part of your responsibilities.
Job Responsibilities:
<ul><li>Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments' domain.
</li><li>Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
</li><li>Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
</li><li>Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.
</li></ul>Required qualifications, capabilities, and skills:
<ul><li>Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 6 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
</li><li>Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
</li><li>Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.
</li><li>Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.
</li><li>Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.
</li><li>Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.
</li></ul>Preferred Qualifications, capabilities and skills
<ul><li>Experience in the financial services industry, particularly within investment banking operations.
</li><li>Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
</li><li>Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc.
</li></ul>ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML Lead

SportsBiz Group Inc

Lead AI &amp; Computer Vision Scientist<ul><li>Role: Lead AI &amp; Computer Vision Scientist</li><li>Location: 100% Remote (US / Canada/Europe/South America)</li><li>Current Company Valuation: $30M</li><li>Compensation Model: Day-1 Equity + Post-Funding Salary</li></ul>The OpportunityAre you a visionary interactive developer who thrives at the intersection of cutting-edge AI-native technology and early-stage startup grit?SportsBiz (SportsBiz.com) is disrupting the $100B sports sponsorship industry. Having already established a leadership foothold with our proprietary AI analytics platform, DeepSport Solutions, we are now expanding our ecosystem. We are seeking an elite AI expert to CV-based products from concept to production &mdash; not just research prototypes.architect and scale our from the ground up.This is not a corporate cog-in-the-wheel role. You will act as a player-coach, building and working on a team data scientists, establishing the technical blueprint, and directly shaping the future of sports sponsorship technology. Must have strong team leadership experience. Our clients span both major corporate sponsors (brands) and sports properties (teams, leagues, and events).The Reality of Early-Stage Building (Our Culture)Transparency is our baseline. We are a lean, high-octane team of 20+ co-founders and executives hailing from Fortune 500s and top-tier boutique firms.<ul><li>Current Company Valuation: $30M</li><li>The Phase: We are currently preparing to close our $5M second-round capital raise, which is anticipated by the end of Q3.</li><li>The Compensation: In alignment with our leadership team, this role operates on an equity (stock only) model prior to funding. You will receive meaningful equity ownership from day one, alongside routine cash stipends.</li><li>The Full-Time Transition: Upon the successful completion of our present $5M fundraise, you will transition immediately to a highly competitive, full-time base salary and performance bonuses. Base Salary: $120,000.</li></ul>If you are energized by the high-upside equity phase of a startup and want true, structural ownership of a product, this is your sandbox.What You'll Own<ul><li>Own the video processing pipelines. Be the directly responsible individual for the pipelines that detect broadcast exposure and assess its value &mdash; their technical roadmap, quality, and delivery, from research through production.</li><li>Scale to league level. Architect and deliver the systems that take these pipelines from single venues and teams to processing all games across major leagues (NFL, NHL, MLB) and major college football conferences, with the throughput, reliability, and cost profile that scale demands.</li><li>Own the computer-vision core. Lead detection and identification of sponsorship signage and branded assets in video. Continuously evaluate and prototype alternative approaches &mdash; models, architectures, tooling, and vendors &mdash; to keep the pipeline at the frontier of a rapidly advancing field.</li><li>Own the full valuation workflow. Take a system-level view of the entire pipeline: tracking signage into impressions, scoring those impressions, and translating them into a defensible dollar value of brand exposure. Ensure each stage is measurable, explainable, and defensible to clients.</li><li>Engineering rigor. Drive strong software practices across the team &mdash; clean, tested, maintainable Python; a disciplined SDLC; and robust CI/CD, so research reliably becomes production.</li><li>Lead and grow the team. Manage, mentor, and hire data scientists and ML engineers. Set technical standards, run reviews, and develop the people around you.</li><li>Cross-functional partnership. Work with product and commercial teams to translate client needs into technical requirements, and communicate methodology and results to non-technical stakeholders with credibility.</li></ul>What We're Looking For<ul><li>Delivered a computer-vision product. Proven experience taking a CV-based product from concept to production &mdash; not just research prototypes.</li><li>CV models on AWS. Hands-on experience developing and deploying computer-vision models on AWS infrastructure, such as SageMaker.</li><li>System-level thinker. Able to own a multi-stage workflow end to end &mdash; detection, tracking, scoring, and valuation &mdash; and reason about how choices in one stage affect the whole.</li><li>Deep Python and software-engineering depth. You are a strong software developer, not only a modeler. Fluent in Python with real command of the SDLC and CI/CD.</li><li>Scale experience. Track record building or operating data/ML systems that handle high volume reliably and cost-effectively.</li><li>Leadership. Experience leading and mentoring technical talent; comfortable owning outcomes and setting direction.</li><li>Stays current. Actively tracks the evolving CV and ML ecosystem and has a habit of evaluating and adopting better approaches.</li><li>Communication. Explains technical methodology and results clearly to both engineers and business stakeholders.</li></ul>Nice to Have<ul><li>AWS-based workflows. Experience implementing production data or ML workflows on AWS.</li><li>AI-forward practitioner. Hands-on adopter of AI in your own workflow &mdash; you use coding agents and AI-assisted development day to day.</li><li>AI-driven workflows. Experience designing or building AI-driven pipelines and automation.</li><li>Sports / media domain. Familiarity with sports broadcast, sponsorship measurement, or media valuation.</li><li>Video at scale. Experience with video ingestion, streaming, or large-scale media processing infrastructure.</li></ul>What Success Looks LikeWithin your first year, the video processing pipelines reliably run at league scale, the computer-vision core is measurably more accurate and more current than it is today, and the impression-to-dollar valuation is trusted by clients and defensible under scrutiny &mdash; backed by a strong team and engineering practices you&rsquo;ve helped build.SportsBiz is an equal opportunity employer. We welcome applicants from all backgrounds.Minimum Qualifications<ul><li>Experience: 8+ years of professional experience, with a minimum of 4-5+ years dedicated specifically to Computer Vision and alogorythmic modeling.</li><li>Technical Mastery: Flawless skills and a bulletproof understanding of rendering algorithms and data structures.</li><li>Leadership Toolkit: Proven history of leading engineering teams, managing agile pipelines, and mentoring junior/mid-level talent.</li><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, or equivalent practical field.</li><li>Portfolio: A stellar portfolio demonstrating complex, production-ready work in AI engineering and computer vision.</li></ul>Nice-to-Haves<ul><li>A genuine passion for sports analytics, gaming, or data-driven visual experiences.</li><li>Experience integrating AI-assisted development tools (like Cursor or Claude Code) into your production workflows.</li></ul>Perks &amp; Benefits<ul><li>Founding Equity: Meaningful ownership (Employee Stock Ownership Plan) in a high-valuation startup.</li><li>Immediate Cash Stipends: Ongoing routine stipends provided prior to our major funding round.</li><li>100% Remote &amp; Flexible: Work from home with a schedule optimized for async, high-output productivity.</li><li>Uncapped Trajectory: As a foundational engineering leader, your career growth scales directly with the company's valuation.</li></ul>Pay: $110,000.00 - $130,000.00 per yearBenefits:<ul><li>Paid time off</li><li>Stock options</li></ul>Experience:<ul><li>Unreal Engine: 5 years (Required)</li></ul>Work Location: Remote

Lead AI & Computer Vision Scientist

Cloud Destinations

Job Summary We are seeking a Speech Deep Learning Scientist to develop and enhance advanced Speech AI solutions and improve conversational AI experiences for millions of users. This role will focus on speech synthesis model development, speech data processing, model evaluation, and driving innovation in speech technologiesResponsibilities<ul><li>Train Speech Synthesis Mel Spectrogram and Vocoder models</li><li>Measure and benchmark model performance</li><li>Maintain TTS model evaluation systems</li><li>Analyze model accuracy and bias and recommend improvements and next steps</li><li>Improve processes for speech data processing, augmentation, filtering, and TTS training set preparation</li><li>Gather knowledge on TTS datasets for training and evaluation</li><li>Characterize performance and quality metrics across platforms for various Speech AI components</li><li>Collaborate with multiple teams on new product features and enhancements to existing products</li><li>Participate in code development and reviews, design document reviews, use case reviews, and test plan reviews</li><li>Help innovate, identify problems, recommend solutions, and perform triage in a collaborative team environment</li></ul>Requirements<ul><li>5+ years of relevant experience</li><li>Excellent programming skills in Python</li><li>Strong fundamentals in programming, optimization, and software design</li><li>Strong knowledge of machine learning and deep learning techniques, algorithms, and tools, including exposure to Autoregressive Speech Language Models, Audio Diffusion, and Flow Matching models</li><li>Knowledge of deep learning applications for speech synthesis, Large Language Models, and speech to speech translation</li><li>Hands on experience with speech technologies such as speech synthesis and voice cloning</li><li>Experience training speech models</li><li>Experience with the PyTorch deep learning framework</li><li>Exposure to speech digital signal processing and feature extraction techniques including FFT, MFCC, and Mel Spectrograms</li><li>General background with version control and code review tools such as Git, Gerrit, and GitLab</li><li>Strong collaborative and interpersonal skills with a proven ability to guide and influence within a dynamic matrix environment Preferred Qualifications</li><li>Native or near native fluency in a non English language including Spanish, Mandarin, German, Japanese, Russian, French, UK English, Arabic, Hindi, Korean, Italian, or Portuguese</li><li>Experience developing multilingual code switched TTS, voice cloning, and cross lingual voice cloning solutions</li><li>Experience developing WFST and neural network based Text Normalization and Inverse Text Normalization solutions</li><li>Experience working with G2P systems across multiple languages</li><li>Strong personal interest in learning, researching, and creating technologies related to foreign languages, linguistics, phonetics, phonology, and language technology</li><li>Comfortable working in a fast paced, highly collaborative, and dynamic environment</li><li>Strong C++ programming skills</li><li>Familiarity with GPU technologies including CUDA, CuDNN, and TensorRT</li><li>Experience deploying machine learning models on data center, cloud, and embedded systems</li></ul>Tools and Technologies:<ul><li>Python</li><li>PyTorch</li><li>Machine Learning</li><li>Deep Learning</li><li>Speech Synthesis</li><li>Voice Cloning</li><li>Speech to Speech Translation</li><li>Autoregressive Speech Language Models</li><li>Audio Diffusion</li><li>Flow Matching</li><li>FFT</li><li>MFCC</li><li>Mel Spectrograms</li><li>Git</li><li>Gerrit</li><li>GitLab</li><li>C++</li><li>CUDA</li><li>CuDNN</li><li>TensorRT</li></ul>Pay: $50.00 - $55.00 per hourExperience:<ul><li>Deep learning: 5 years (Required)</li><li>autoregressive speech language models (LMs): 2 years (Required)</li></ul>Work Location: Remote

Deep Learning Scientist

Press Ganey

<div>Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries&mdash;a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare &ndash;perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world&rsquo;s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.<ul><li>
Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.</li><li>
Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.</li><li>
Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.</li><li>
Dare to innovate: We challenge the status quo with creativity and innovation as our true north.</li><li>
Better together: We check our egos at the door. We work together, so we win together.</li></ul>
Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com Please provide your contact information and the details of your request so we can best assist you.
Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III &ndash; Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data. 
 
You will<ul><li>
Design, Develop, and evaluate Conversational AI Agents</li><li>
Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products</li><li>
Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI &amp; Machine Learning team</li><li>
Work closely with Responsible AI &amp; Model Validation Center of Excellence to support ethical development of AI Agents</li></ul> 
You have<ul><li>
Master's degree in Computer Science, Artificial Intelligence, or related field</li><li>
5+ years of professional experience in Applied Research and/or Software Engineering</li><li>
Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.</li><li>
Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.</li><li>
Strong understanding of Machine Learning, NLP, and Generative AI</li><li>
Excellent communication and cross-team collaboration skills</li></ul> 
Preferred Qualifications<ul><li>
PhD in Computer Science, Artificial Intelligence, or related field</li><li>
Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.</li><li>
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.</li><li>
Involvement in Conversational AI research community</li></ul>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice &ndash; Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.<div>
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.</div>
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/</div>

ML Data Scientist III

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